--- title: "[Flow Classic] Detailed analysis: viewing the correlation between each KPI in KPI analysis" description: "We will guide you on how to understand the relationship between each KPI and increase the specificity of your measures." url: https://help.flow-insight.com/en/articles/492-flow-classic-detailed-analysis-viewing-the-correlation-between-each-kpi-in-kpi-analysis collection: "Flow Classic KPI features" updated: 2026-08-06 language: en alternates: [ja] --- # [Flow Classic] Detailed analysis: viewing the correlation between each KPI in KPI analysis We will guide you on how to understand the relationship between each KPI and increase the specificity of your measures. > **Info:** This article describes Flow Classic, the previous version of Flow. Some screens and features may differ from the new app. Each KPI is closely linked — focusing on one KPI can affect another. This article walks through examples of correlations between common KPIs, so you can take the right action when a KPI shifts. ## Correlation between KPIs Figure ① (KPI Tree) ![](https://staticfiles.gleap.io/ghelparticle/gBdntZ4I0NLSkl5dWnaQhjaF6iMmY91CwCVQBAho4rzNYoqZ4jGAO5GfUJLk05cxn3UoMkLxpvK.png) As Figure ① shows, KPIs branch off from and relate to each other to make up sales. Even KPIs that aren't directly connected can show a consistent pattern of change together. Some common examples:

KPI pair	Tendency
Visitors × Conversion rate	As visitor count rises, staff may not keep pace, and conversion rate tends to drop.
Visitors × Sales	As visitor count rises, there are more chances to make a sale, so sales tend to rise.
Average spend × Conversion rate	Higher average spend tends to mean longer customer interactions, which can lower conversion rate.
Item price × Items per purchase	Item price and items per purchase tend to move inversely — as one rises, the other tends to fall.
Time in store × Visit rate	The longer customers spend in-store, the more their guard drops, and visit rate tends to rise.

## Checking value changes by time of day You can see how each KPI's numbers change by time of day, which can also reveal correlations between KPIs. When set to \[By Time of Day\], selecting a one-week range in the calendar filter shows averaged values on the graph, and selecting today shows the day's changes in real time. (\*Depends on your company's POS data-sharing setup.) Example: if your goal is to raise average spend, but sales won't grow unless conversion rate holds steady too, check the graph and evaluate/adjust your actions hour by hour throughout the day. ## Viewing changes over days, weeks, and months You can compare and analyze a specific period against a nearby period or the same period last year. Example 1: run a promotion during a specific period, then check the change vs. the previous week on the graph. Keep watching the following week's numbers too, refining your actions as you go — comparing the final results against each KPI can reveal both the KPI relationships and the market shift the promotion caused. Example 2: run a campaign to lift a declining conversion rate, then compare the numbers before and after to check whether it paid off. * * * If you have any questions or feedback, please contact support at [support@flow-solutions.com](mailto:support@flow-solutions.com).